Dataface Tasks

Quality and performance improvements

IDM5_V1_2_LAUNCH-DASHBOARD_FACTORY-02
Statusnot_started
Priorityp1
Milestonem5-v1-2-launch
Ownerdata-analysis-evangelist-ai-training

Problem

The quality rubric and review process have been running since early milestones, but there is no measurement of whether they are actually improving template quality or user outcomes. Review turnaround time, defect escape rate, and user satisfaction with published templates are untracked. Without tying process improvements to measurable user-facing outcomes, the team cannot justify further investment in the review process or identify which quality dimensions matter most to users.

Context

  • Once repeatable production, review, and publishing of quickstarts and example dashboards is in regular use, quality and performance work needs to target the actual slow, flaky, or costly paths rather than generic optimization ideas.
  • The right scope here is evidence-driven: identify bottlenecks, remove the highest-friction issues, and make sure the fixes are measurable and regression-resistant.
  • Expected touchpoints include examples/, review/publishing docs, production-line scripts, and dashboard content fixtures, telemetry or QA evidence, and any heavy workflows where users are paying the cost today.

Possible Solutions

  • A - Tune isolated hotspots as they are reported: useful for emergencies, but it rarely produces a coherent quality/performance program.
  • B - Recommended: prioritize measurable bottlenecks and quality gaps: couple performance work with correctness and UX validation so improvements are both faster and safer.
  • C - Rewrite broad subsystems for theoretical speedups: tempting, but usually too risky and poorly grounded for this milestone.

Plan

  1. Identify the biggest quality and performance pain points in repeatable production, review, and publishing of quickstarts and example dashboards using real usage data, QA findings, and support feedback.
  2. Choose a small set of improvements with clear before/after measures and explicit user-facing benefit.
  3. Implement the fixes together with regression checks, docs, or operator notes wherever the change affects behavior or expectations.
  4. Review the measured outcome and turn any remaining hotspots into sequenced follow-up tasks instead of leaving them as vague future work.

Implementation Progress

Review Feedback

  • [ ] Review cleared